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Spontaneous smile recognition for interest detection

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成果类型:
期刊论文、会议论文
作者:
Luo, Zhenzhen;Liu, Leyuan;Chen, Jingying*;Liu, Yuanyuan;Su, Zhiming
通讯作者:
Chen, Jingying
作者机构:
[Liu, Leyuan; Luo, Zhenzhen; Su, Zhiming; Liu, Yuanyuan; Chen, Jingying] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan 430079, Hubei, Peoples R China.
通讯机构:
[Chen, Jingying] C
Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan 430079, Hubei, Peoples R China.
语种:
英文
关键词:
Smile recognition;Conditional random forest;Interest detection;Head poses
期刊:
Communications in Computer and Information Science
ISSN:
1865-0929
年:
2016
卷:
662
页码:
119-130
会议名称:
第七届全国模式识别学术会议(The 7th Chinese Conference on Pattern Recognition,CCPR2016)
会议论文集名称:
第七届全国模式识别学术会议(The 7th Chinese Conference on Pattern Recognition,CCPR2016)论文集
会议时间:
2016-11-03
会议地点:
成都
会议主办单位:
[Luo, Zhenzhen;Liu, Leyuan;Chen, Jingying;Liu, Yuanyuan;Su, Zhiming] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan 430079, Hubei, Peoples R China.
会议赞助商:
中国自动化学会
主编:
Tan, T Li, X Chen, X Zhou, J Yang, J Cheng, H
出版地:
152 BEACH ROAD, #21-01/04 GATEWAY EAST, SINGAPORE, 189721, SINGAPORE
出版者:
SPRINGER-VERLAG SINGAPORE PTE LTD
ISBN:
978-981-10-3002-4; 978-981-10-3001-7
基金类别:
This work was supported by Research funds from the Humanities and Social Sciences Foundation of the Ministry of Education (No. 14YJAZH005), National Social Sciences Foundation (No. 16BSH107), Research funds from Ministry of Education and China Mobile (MCM20130601), Research Funds of CCNU from the Colleges’ Basic Research and Operation of MOE (No. CCNU16A02020), National Key Technology Research and Development Program (NO. 2014BAH22F01), Research Funds of CCNU from the Colleges Basic Research and Operation of MOE (No. CCNU14A05019), Research Funds of CCNU from the Colleges Basic Research and Operation of MOE (No. CCNU14A05020).
机构署名:
本校为第一且通讯机构
院系归属:
国家数字化学习工程技术研究中心
摘要:
“Interest”is a critical bridge between cognitive and effective issues in learning. Student’s interest has great impact on learning performance. Hence, it’s necessary to detect student’s interest and make them more engaged in the learning process for productive learning. Student’s interest can be detected based on the facial expression recognition, e.g., smile recognition. However, various head poses, different illumination, occlusion and low image resolution make smile recognition difficult. In this paper, a conditional random forest base...

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